Software Engineer, Infrastructure

Reposted 2 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
Senior level
Artificial Intelligence • Biotech
The Role
We are seeking a Software Engineer focused on building resilient infrastructure systems for AI drug discovery, enhancing developer productivity and ensuring compliance with biopharma standards.
Summary Generated by Built In
About Chai Discovery

Chai is an applied research lab working on AI to unlock biology. Our models design new molecules for new medicines. Scientists across industry are adopting our software platform to develop drugs with engineering precision. Our vision is to build a design suite for biology, with applications across life sciences, agriculture, materials science and beyond.

Our founders have been at the forefront of this field since its inception. We raised $230m from Thrive, General Catalyst, OpenAI, Dimension and other tier-one investors. We partner with global life sciences companies like Eli Lilly on deals that are transforming the industry landscape.

We are known for talent density, rigorous research and pace of execution.

About the role

We are hiring an engineer obsessed with building systems and infrastructure that are as simple as possible while being flexible and resilient. You will build the compute and infrastructure systems underpin our product surface, model inference, and evaluation suite. You’ll work closely with product engineers, researchers, and our commercial team.

You have built services that developers love, moved and scaled AI/ML systems into production, and can help us predict and preempt objections that might prevent leading biopharma organizations from adopting our platform.

After years of foundational R&D, Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to bring the most advanced AI drug design models to market, working alongside a craft-obsessed team of micro pessimists and macro-optimists.

About you

You are mission-driven and want to define the gold standard for purposeful AI technology. You should have:

Software experience:

  • Bachelor’s degree or equivalent experience in Computer Science or related field.

  • 5+ years experience building production systems with proven + modern tooling, working with platform, security, and product teams.

  • You can see around infrastructure corners.

  • Have had end-to-end ownership of 24x7 infrastructure observability, alerting and incident response.

  • Have been part of 0-to-1 buildouts as well as 1-to-n scale-ups, have the scars to prove it, and bring an always-evolving playbook of best practices and philosophies with you wherever you go.

Communication & collaboration

  • Enjoy pair-reviewing code, writing docs, and sharing knowledge with teammates.

  • Able to explain technical trade-offs to non-engineers and to translate scientific requirements into engineering tasks.

Mindset:

  • Take ownership of what you build... you are "on call" by default.

  • Mission- and purpose-driven; you like the idea of your life's work going to create better cures

  • Driven to iterate fast with a bias for shipping—without breaking things

  • Question assumptions, with diplomacy.

  • Clear communicator and respectful colleague.

  • Operate well under pressure and thrive in fast-moving environments.

We offer

The opportunity to work at the frontier of AI, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We offer highly competitive compensation.

Top Skills

Ai/Ml
APIs
Infrastructure
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, California
9 Employees

What We Do

Building frontier artificial intelligence to predict and reprogram the interactions between biochemical molecules.

Similar Jobs

Vercel Logo Vercel

Software Engineer

Artificial Intelligence • Cloud • Software
Easy Apply
Hybrid
2 Locations
180K-260K Annually

MongoDB Logo MongoDB

Software Engineer

Big Data • Cloud • Software • Database
Easy Apply
Remote or Hybrid
4 Locations
5550 Employees
127K-249K Annually

Compa Logo Compa

Staff Software Engineer

Artificial Intelligence • HR Tech • Other • Software • Business Intelligence
In-Office
3 Locations
70 Employees
200K-225K Annually

Klaviyo Logo Klaviyo

Lead Software Engineer

Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Easy Apply
Hybrid
San Francisco, CA, USA
2400 Employees
216K-324K Annually

Similar Companies Hiring

GC AI Thumbnail
Legal Tech • Artificial Intelligence
San Francisco, California
46 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees
Bellagent Thumbnail
Artificial Intelligence • Machine Learning • Business Intelligence • Generative AI
Chicago, IL
20 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account